AI Capabilities
Every AI Feature, Explained.
Available in both AIdMD EHR and AIdMD Insights. The same AI engine, across every deployment.
Talk to your patient's chart in plain English.
An intelligent conversational interface that understands your patients' complete medical records. Ask anything — get cited, structured answers in seconds.
- Natural language queries — ask about any patient in plain English
- Instant patient summaries in seconds
- Medication reviews with dosing and indications
- Lab trend analysis over time
- Clinical decision support with evidence-based suggestions
- Source citations — every response links to the source data in the chart
Example Queries
"What medications is this patient taking for diabetes?"
"Summarize the last three visits."
"Are there any drug interactions I should know about?"
"What preventive care is due for this patient?"
Dictate encounters. Get structured notes instantly.
Medical-grade voice capture transforms patient encounters into structured clinical documentation — automatically formatted and context-aware.
- Medical-grade speech recognition with voice-to-text transcription
- Automatic formatting into clinical templates (SOAP, H&P, Progress, Procedure, Consult, Discharge)
- Patient context awareness — incorporates existing chart data
- Real-time dictation during the encounter
- Note refinement — edit and refine generated notes with AI
- Suggested additions — AI flags missing elements (allergies reviewed, etc.)
Note Templates
SOAP Note
H&P
Progress Note
Procedure Note
Consult
Discharge Summary
Enter clinical orders in plain language.
Execute clinical orders using natural language commands with AI-powered safety checking. Every action requires explicit physician approval before execution.
- Natural language commands — type orders in plain English
- Intelligent parsing of clinical intent
- Safety verification: drug interactions, allergy conflicts, duplicate therapy, dosing guidance
- Confidence scoring — AI indicates certainty level
- Physician approval workflow — all actions require explicit confirmation
- Full audit trail for compliance
Example Commands
"Prescribe Lisinopril 10mg once daily for hypertension"
"Order CBC, CMP, and lipid panel"
"Refer to cardiology for chest pain evaluation"
"Schedule follow-up in 3 months"
All AI-drafted actions require explicit clinician review and sign-off before execution.
Proactive alerts surfaced automatically.
Automated analysis of patient data to surface clinically significant findings — before they become critical.
- Drug interaction alerts
- Care gap identification (missing screenings, vaccinations)
- Lab abnormality trends
- Duplicate therapy detection
- Vital sign trend analysis
- Chronic disease management tracking
- Severity-coded: Critical, High, Moderate, Informational
Severity Levels
Requires immediate attention — potential patient safety risk
Clinically significant — review before end of session
Notable finding — review at next appropriate opportunity
Background context and routine reminders
Describe it in plain language. Get the code.
AI-assisted diagnosis coding for accurate billing and documentation. Context-aware suggestions based on the patient's full chart.
- Natural language search — describe the condition, get the code
- Context-aware suggestions based on existing conditions
- Specificity guidance — suggests more specific codes
- Alternative codes with explanations
- Documentation tips for supporting documentation
Example
Input
“Patient has diabetes with peripheral neuropathy”
Suggested Code
E11.42 — Type 2 DM with diabetic polyneuropathy
E11.40
DM with unspecified neuropathy
E11.65
DM with hyperglycemia
Clinician voices
Built for real workflows
“AIdMD feels like an extra set of hands during clinic. Notes are basically done when I walk out of the room, and the chart highlights what I would have otherwise missed. It saves time without changing how I practice.”
Intensivist, HCA Florida Kendall Hospital
“The ICD-10 assist alone pays for itself. I am coding more accurately and spending less time second-guessing.”
Internal Medicine Physician